Convolutional Network Training System

A Convolutional Network Training System is a multilayer feedforward neural network training system that implements an convolutional network training algorithm to solve a convolutional network training task.

• • …
• Example(s):
  • Keras[1]
• Counter-Example(s):
  • a Recurrent Neural Network Training System.
  • a Multilayer Perceptron Training System.
• See: TensorFlow RNN.

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References

2017

• https://github.com/fchollet/keras/blob/master/README.md
  • QUOTE: Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow[2] or Theano[3]. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good research.

    Use Keras if you need a deep learning library that:

    • Supports both convolutional networks and recurrent networks, as well as combinations of the two.

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